Generation of highly pure motor neurons from human induced pluripotent stem cells

Masuma Akter; Haochen Cui; Masood Sepehrimanesh; Md Abir Hosain; Baojin Ding

STAR Protocols (Mar 2022)

Generation of highly pure motor neurons from human induced pluripotent stem cells

Masuma Akter,
Haochen Cui,
Masood Sepehrimanesh,
Md Abir Hosain,
Baojin Ding

Affiliations

Masuma Akter: Department of Biochemistry and Molecular Biology, Louisiana State University Health Sciences Center, Shreveport, LA 71130, USA; Department of Biology, University of Louisiana at Lafayette, 410 East Saint Mary Boulevard, Lafayette, LA 70503, USA
Haochen Cui: Department of Biochemistry and Molecular Biology, Louisiana State University Health Sciences Center, Shreveport, LA 71130, USA
Masood Sepehrimanesh: Department of Biochemistry and Molecular Biology, Louisiana State University Health Sciences Center, Shreveport, LA 71130, USA
Md Abir Hosain: Department of Biochemistry and Molecular Biology, Louisiana State University Health Sciences Center, Shreveport, LA 71130, USA
Baojin Ding: Department of Biochemistry and Molecular Biology, Louisiana State University Health Sciences Center, Shreveport, LA 71130, USA; Corresponding author

Journal volume & issue: Vol. 3, no. 1
p. 101223

Abstract

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Summary: Generation of human motor neurons (MNs) overcomes the inaccessibility to patient brain tissues and greatly facilitates the research in MN-related diseases. Here, we describe a protocol for generation of neural progenitor cells (NPCs) from human induced pluripotent stem cells (hiPSCs), followed by preparation of functional MNs. The optimized induction condition with the expression of three transcription factors in a single lentiviral vector significantly improved the yield and purity, making it possible to biochemically identify dysregulated factors in diseased neurons.For complete details on the use and execution of this protocol, please refer to Ding (2021), Ding et al. (2021), and Sepehrimanesh and Ding (2020).

Published in STAR Protocols

ISSN: 2666-1667 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Science: Science (General)
Website: https://star-protocols.cell.com/

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